2025
Enabling Privacy-Aware AI-Based Ergonomic Analysis.
CoRR, May, 2025
Maximum causal entropy inverse constrained reinforcement learning.
Mach. Learn., April, 2025
Approximating vision transformers for edge: variational inference and mixed-precision for multi-modal data.
Computing, February, 2025
Rethinking Computing Systems in the Era of Climate Crisis: A Call for a Sustainable Computing Continuum.
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IEEE Internet Comput., 2025
Multi-camera detection and tracking for individual broiler monitoring.
Comput. Electron. Agric., 2025
Adaptive Clustering for Efficient Phenotype Segmentation of UAV Hyperspectral Data.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025
Exploring Correlated Facial Attributes in Text-to-Image Models: Unintended Consequences in Synthetic Face Generation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025
Hybrid Data Fusion for Low-Cost High-Speed Monitoring in Powder Bed Fusion 3D Printing.
Proceedings of the 17th International Conference on Computer and Automation Engineering, 2025
2024
Privacy-preserving visual analysis: training video obfuscation models without sensitive labels.
Appl. Intell., April, 2024
Reward Machine Inference for Robotic Manipulation.
CoRR, 2024
Learning Task Specifications from Demonstrations as Probabilistic Automata.
CoRR, 2024
Mitigating Bias Using Model-Agnostic Data Attribution.
CoRR, 2024
Learning Temporal Task Specifications From Demonstrations.
Proceedings of the Explainable and Transparent AI and Multi-Agent Systems, 2024
Multi-bit, Black-box Watermarking of Deep Neural Networks in Embedded Applications.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Test-time Specialization of Dynamic Neural Networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Mitigating Bias Using Model-Agnostic Data Attribution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Label Efficient Lifelong Multi-View Broiler Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Inverse reinforcement learning through logic constraint inference.
Mach. Learn., July, 2023
Sparse random neural networks for online anomaly detection on sensor nodes.
Future Gener. Comput. Syst., July, 2023
Learning Safety Constraints From Demonstration Using One-Class Decision Trees.
CoRR, 2023
Learning Logic Constraints From Demonstration.
Proceedings of the 17th International Workshop on Neural-Symbolic Learning and Reasoning, 2023
2022
Iterative Online 3D Reconstruction from RGB Images.
Sensors, 2022
An Opt-in Framework for Privacy Protection in Audio-Based Applications.
IEEE Pervasive Comput., 2022
Iterative neural networks for adaptive inference on resource-constrained devices.
Neural Comput. Appl., 2022
Selective manipulation of disentangled representations for privacy-aware facial image processing.
CoRR, 2022
Audio-guided Album Cover Art Generation with Genetic Algorithms.
CoRR, 2022
A VM/Containerized Approach for Scaling TinyML Applications.
CoRR, 2022
Automated training of location-specific edge models for traffic counting.
Comput. Electr. Eng., 2022
Multi-branch Neural Networks for Video Anomaly Detection in Adverse Lighting and Weather Conditions.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
TinyMLOps: Operational Challenges for Widespread Edge AI Adoption.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022
2021
Decoupled appearance and motion learning for efficient anomaly detection in surveillance video.
Comput. Vis. Image Underst., 2021
Privacy Aware Person Detection in Surveillance Data.
CoRR, 2021
Intelligent Frame Selection as a Privacy-Friendlier Alternative to Face Recognition.
CoRR, 2021
2020
Training binary neural networks with knowledge transfer.
Neurocomputing, 2020
Anomaly Detection for Autonomous Guided Vehicles using Bayesian Surprise.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
2019
Multi-fidelity deep neural networks for adaptive inference in the internet of multimedia things.
Future Gener. Comput. Syst., 2019
Asynchronous Spiking Neurons, the Natural Key to Exploit Temporal Sparsity.
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IEEE J. Emerg. Sel. Topics Circuits Syst., 2019
Conversion of Synchronous Artificial Neural Network to Asynchronous Spiking Neural Network using sigma-delta quantization.
Proceedings of the IEEE International Conference on Artificial Intelligence Circuits and Systems, 2019
2018
DIANNE: a modular framework for designing, training and deploying deep neural networks on heterogeneous distributed infrastructure.
J. Syst. Softw., 2018
Improving Generalization for Abstract Reasoning Tasks Using Disentangled Feature Representations.
CoRR, 2018
Privacy Aware Offloading of Deep Neural Networks.
CoRR, 2018
Fingerprinting encrypted network traffic types using machine learning.
Proceedings of the 2018 IEEE/IFIP Network Operations and Management Symposium, 2018
IamNN: Iterative and Adaptive Mobile Neural Network for efficient image classification.
Proceedings of the 6th International Conference on Learning Representations, 2018
2017
The cascading neural network: building the Internet of Smart Things.
Knowl. Inf. Syst., 2017
Transfer Learning with Binary Neural Networks.
CoRR, 2017
Decoupled Learning of Environment Characteristics for Safe Exploration.
CoRR, 2017
2016
Lazy Evaluation of Convolutional Filters.
CoRR, 2016
Efficiency Evaluation of Character-level RNN Training Schedules.
CoRR, 2016
Multi-fidelity matryoshka neural networks for constrained IoT devices.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Middleware Platform for Distributed Applications Incorporating Robots, Sensors and the Cloud.
Proceedings of the 5th IEEE International Conference on Cloud Networking, 2016
2015
Combining Collaborative Filtering and Search Engine into Hybrid News Recommendations.
Proceedings of the 3rd International Workshop on News Recommendation and Analytics (INRA 2015) co-located with 9th ACM Conference on Recommender Systems (RecSys 2015), 2015
DIANNE: Distributed Artificial Neural Networks for the Internet of Things.
Proceedings of the 2nd Workshop on Middleware for Context-Aware Applications in the IoT, 2015
Resource-constrained classification using a cascade of neural network layers.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015